Jeffrey Skolnick, Professor; Director, Center for the Study of Systems Biology; GRA Eminent Scholar

Ph.D., Yale University

Email:
Phone: 404-407-8975
Fax: 404-385-7478
Office: GTRI, 250 14th Street, NW 138

Research Interest

Computational Biology, Bioinformatics, and Systems Biology - Development of tools for the prediction of protein structure and function from sequence; functional genomics; automatic assignment of enzymes to metabolic pathways, prediction of protein tertiary and quaternary structure and folding pathways; prediction of membrane protein tertiary structure, prediction of small molecule ligands for drug discovery, prediction of druggable protein targets, drug design, equilibrium and dynamic properties of lipid bilayers; simulation of virus coat protein assembly.

Recent Publications

[Additional Publications]

J. Skolnick and M. Brylinski. Novel computational approaches to drug discovery. Proceedings of the International Conference of the Quantum Bio-Informatics III, eds. L Accardi, W. Freudenberg & M. Ohya, 2010 Word Scientific Publishing (327-336). NIHMSID: 165616

S. B. Pandit, M. Brylinski, H. Zhou, M. Gao, A. K. Arakaki and J. Skolnick. PSiFR: An integrated resource for prediction of protein structure and function. Bioinformatics 2010: 26(5): 687-688. PMCID: PMC2828114 .

H. Zhou and J. Skolnick. Improving threading algorithms for remote homology modeling by combining fragment and template comparisons. Proteins 2010:78(9): 2041-2048. doi: 10.1002/prot.22717.

S. B. Pandit and J. Skolnick. TASSER_low-zsc: An approach to improve structure prediction using low z-score ranked templates. Biophysical Journal (submitted).

M. Gao and J. Skolnick. DBD-Hunter: A knowledge-based method for the prediction of DNA-protein interactions. Nucleic Acids Research 36(12): 3978-3992. PMCID: PMC2475642

S.B Pandit and J. Skolnick. Fr-TM-align: A new protein structural alignment method based on fragment alignments and the TM-score. BMC Bioinformatics :9:531 (Highly accessed). PMCID: PMC2628391

H. Zhou and J. Skolnick. Protein structure prediction by pro-sp3-TASSER. Biophysical Journal 2009. 96(6): p. 2119-27. PMCID: PMC2717286

A. K. Arakaki, Y. Huang and J. Skolnick. EFICAz2: Enzyme Function Inference by a Combined Approach enhanced by machine learning. BMC Bioinformatics 2009:(10): 107. PMCID: PMC2670841.

M. Brylinski and J. Skolnick. FINDSITELHM: A threading-based approach to ligand homology modeling. PLoS Computational Biology 2009:5(6): e1000405. doi:10.1371/journal.pcbi.1000405. PMCID: PMC2685473

S. B. Pandit, H. Zhou and J. Skolnick. TASSER-based protein structure prediction, in Protein Structure Prediction: Methods and Algorithms (accepted). NIHMSID: 165620